The JUSThink project aims is to improve the computational thinking skills of children, by exercising algorithmic reasoning with and through graphs, where graphs are posed as a way to represent, reason with and solve a problem. It targets at fostering children’s understanding of abstract graphs through a collaborative problem-solving task mediated by a humanoid robot (QTrobot). JUSThink also serves as a platform to develop and evaluate the robot’s artificial intelligence in terms of understanding the behaviors of children including their actions on the platform, as well as their speech activity, etc.
Studying Alignment in Spontaneous Speech via Automatic Methods: How Do Children Use Task-specific Referents to Succeed in a Collaborative Learning Activity?
2021-04-09
p. 41.Mutual Modelling Ability for a Humanoid Robot: How can it improve my learning as we solve a problem together?
2021-03-12
Robots for Learning Workshop in 16th annual IEEE/ACM Conference on Human-Robot Interaction (HRI 2021), Virtual Conference, March 9-11, 2021.Many Are The Ways to Learn: Identifying multi-modal behavioral profiles of collaborative learning in constructivist activities
International Journal of Computer-Supported Collaborative Learning
2021
A Social Robot That Looks For Productive Engagement
2021
Robots for Learning workshop at 16th annual ACM/IEEE International Conference on Human-Robot Interaction, Online conference, March 9-11, 2021.What if Social Robots look for Productive Engagement?
International Journal of Social Robotics
2021
DOI : 10.1007/s12369-021-00766-w
When Positive Perception of the Robot Has No Effect on Learning
2020 29Th Ieee International Conference On Robot And Human Interactive Communication (Ro-Man)
2020-08-31
29th IEEE International Conference on Robot and Human Interactive Communication (IEEE RO-MAN), Virtual Conference, Aug 31 – Sept 4, 2020.p. 313-320
DOI : 10.1109/RO-MAN47096.2020.9223343
Engagement in Human-Agent Interaction: An Overview
Frontiers In Robotics And Ai
2020-08-04
Vol. 7 , p. 92.DOI : 10.3389/frobt.2020.00092
Is There ‘ONE way’ of Learning? A Data-driven Approach
2020
22nd ACM International Conference on Multimodal Interaction, Virtual event, Netherlands, October 25-29, 2020.You Tell, I Do, and We Swap until we Connect All the Gold Mines!
ERCIM News
2020-01-01
Vol. 2020 , num. 120, p. 22-23.Robot Analytics: What Do Human-Robot Interaction Traces Tell Us About Learning?
2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
2019-10-14
IEEE RoMan 2019 – The 28th IEEE International Conference on Robot & Human Interactive Communication, New Delhi, India, October 14-18, 2019.DOI : 10.1109/RO-MAN46459.2019.8956465
Orchestration of Robotic Activities in Classrooms: Challenges and Opportunities
Transforming Learning with Meaningful Technologies
2019-09-09
p. 640-644
DOI : 10.1007/978-3-030-29736-7_57
Applying IDC theory to education in the Alps region: A response to Chan et al.’s contribution
Research and Practice in Technology Enhanced Learning
2019
Vol. 14 , p. 17.DOI : 10.1186/s41039-019-0111-6
Learning By Collaborative Teaching : An Engaging Multi-Party CoWriter Activity
2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
2019
The 28th IEEE International Conference on Robot & Human Interactive Communication (RoMan 2019), New Delhi, India, October 14 – 18, 2019.DOI : 10.1109/RO-MAN46459.2019.8956358
Acknowledgements
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 765955.
